Artificial intelligence (AI) has been heralded for its potential to reshape entire industries by enabling new business models and uncovering previously untapped opportunities. It would stand to reason that AI could have a similarly transformative impact on talent attraction, retention, and development. To date, however, few companies have been able to use a data-driven approach to pinpoint the attributes that can predict an individual’s ability to succeed in a given role.

One company that has is Catalyte, the Baltimore-based software development and AI firm. Since its inception in 2000, founder Mike Rosenbaum and CEO Jacob Hsu have pioneered a methodology and algorithm that successfully predicts the ability of candidates to succeed as developers—even those that lack traditional credentials, skills, or training. This breakthrough, along with a workforce development model that features intensive training, mentorship, and defined career pathways, enables the firm to assemble software teams that significantly outperform traditional approaches. And at a time when the tech industry is struggling to achieve greater diversity, Catalyte has been able to create a workforce that more closely resembles the population at large.

You can watch short videos of them discussing the topic below, or read the full interview in the link above.